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1:47:38EN
Cognitive Revolution "How AI Changes Everything"· Jul 4, 2026Podcast19 Neurons Can Drive a Car. Liquid AI Wants Foundation Models on Every ChipHost Nathan LabenzRamin Hasani traces liquid neural networks from a worm's 300-cell brain to a 600-megabyte model that will talk from inside a Mercedes, and explains why architecture search now beats architecture avengers.Models & trainingLocal inferenceScaling Laws+3
1:39:05EN
Cognitive Revolution "How AI Changes Everything"· Oct 29, 2025PodcastThe Summer GPT-5 Disappointed Does Not Mean AI Progress Has StalledHost Nathan LabenzNathan Labenz tells Erik Torenberg why the GPT-5 backlash mixed up product mishaps, naming chaos, and a real jump in capabilities.Enterprise & strategyScaling LawsReasoning & test-time compute+3
2:40:58EN
Cognitive Revolution "How AI Changes Everything"· Nov 16, 2024PodcastZvi Mowshowitz Still Puts P(doom) at 60%—and Says Not Updating Is Self-DeceptionHost Nathan LabenzA six-month recap with the Don't Worry About the Vase author covering Ilya’s SSI, OpenAI’s o1, Claude’s computer use, the SB 1047 veto, and Trump’s return.Enterprise & strategySafety & governanceAI Strategy+3
1:18:32EN
Cognitive Revolution "How AI Changes Everything"· Sep 20, 2024PodcastA DNA Model That Can Tell Which Genes You Cannot TouchHost Nathan LabenzStanford's Brian Hie walks through hybrid architectures, a genome-scale language model trained only on DNA, and an antibody that binds 25 times tighter than nature.Models & trainingAI for scienceComputational Biology+3
1:23:57EN
Cognitive Revolution "How AI Changes Everything"· Sep 4, 2024PodcastA Training Run Is a Particle Collider—and the China Contest Is a Fifty-Year RaceHost Nathan LabenzSamo Burja tells Nathan Labenz why ChatGPT's virality may have slowed AI science, and why Washington should treat Beijing as an economic rival rather than a military one.Enterprise & strategyGeopoliticsAI Strategy+3
1:01:55EN
Cognitive Revolution "How AI Changes Everything"· Jun 1, 2024PodcastA $9 AI nurse, an 86 on the medical boards, and a 10% extinction lineHost Nathan LabenzNathan Labenz’s solo scouting report walks from medical state of the art through how models actually learn, then to live players, scaling trends, and a control plan that still does not exist.Enterprise & strategyAI StrategyScaling Laws+3
1:01:39EN
Cognitive Revolution "How AI Changes Everything"· Apr 13, 2024PodcastGPT-5 Wants 100 Trillion Tokens. Does Earth Have Enough?Host Nathan LabenzTraining GPT-3 took about a trillion tokens; GPT-4 took about ten trillion. The next jump is a data question as much as a compute one.Models & trainingScaling LawsSynthetic data+3
1:19:52EN
Cognitive Revolution "How AI Changes Everything"· Oct 18, 2023Podcast1,000 H100s Take 115 Days; 22,000 Take FiveHost Nathan LabenzNathan Labenz and Trey Kollmer walk through cluster math that turns GPT-4-scale training into a weekly experiment, then four papers on search-augmented models, recursive code improvers, spatial maps inside Llama 2, and what networks do when they have no idea.Models & trainingAI researchModel Interpretability+3
1:33:56EN
Cognitive Revolution "How AI Changes Everything"· Jul 6, 2023PodcastThe AI Scouting Report: 90 Minutes From GPT-4's Exam Scores to Whether Models UnderstandHost Nathan LabenzNathan Labenz spends a solo episode walking through what general-purpose models can do, how they are trained, how capabilities unlock, and whether they understand anything at all.Models & trainingML fundamentalsScaling Laws+3
1:32:22EN
Cognitive Revolution "How AI Changes Everything"· Jun 29, 2023PodcastA Million Bytes and 256 Symbols: Meta's MEGABYTE Wants to Throw the Tokenizer AwayHost Nathan LabenzLili Yu of Meta AI explains a multiscale transformer that predicts million-byte sequences, skips tokenization, and aims to model any file as raw bytes.Models & trainingMultimodal AITransformers & attention+3